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Springer Source and Channel Coding: An Algorithmic Approach

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Description

Explore a different perspective on coded communication with Source and Channel Coding: An Algorithmic Approach. This text from the Springer International Series in Engineering and Computer Science addresses a fundamental question: should communication be approached through probability theorems and bounds, or through algorithms and structures? While traditional information theory courses often focus on Shannon theory and probabilistic models, this book recognizes that modern coding is driven by practical engineering needs. It shifts the focus toward the structures and algorithms that define size, speed, and error performance. By bridging the gap between theoretical foundations and the practical side of engineering, this book provides the necessary context for understanding how coding works in real-world applications where cost and efficiency are vital. It is an essential resource for those looking to move beyond pure theory and into the algorithmic implementation of information systems.

Key Features

Focuses on an algorithmic approach to coding rather than relying solely on probabilistic theory.

Addresses the practical engineering needs of modern coding, including speed and error performance.

Part of the Springer International Series in Engineering and Computer Science.

Explores the relationship between theoretical bounds and actual algorithmic structures.

Provides insight into the size and efficiency requirements of modern communication systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
30 September 2012
Listed Since
14 July 2013

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